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We have 15 Computer Science PhD Projects, Programmes & Scholarships for Self-funded Students in Dundee
Computer Science PhD Projects, Programmes & Scholarships for Self-funded Students in Dundee
We have 15 Computer Science PhD Projects, Programmes & Scholarships for Self-funded Students in Dundee
A robust and accurate facial 3D reconstruction method from images acquired by mobile devices at home for facial growth monitoring
Diseases affecting facial growth require highly accurate facial 3D scan to diagnose, monitor and plan treatment of the condition. Read more
Advanced Methods in Hyperspectral Imagery Analysis for Smart Sensing Applications
Hyperspectral imagery, an extension of traditional imaging, has proven to be a significant tool in various scientific fields due to its ability to detect and identify objects based on their unique spectral signatures. Read more
Medical Imaging for Human Brain and Heart using Photonics and AI
This project aims to develop an optical system, combining an eye-safe laser with high-speed cameras (such as CMOS and SPAD cameras), to capture human heart sounds and monitor brain activity. Read more
Harnessing AI Systems to Innovate Media Interaction through LLMs and Media Metadata
This project will explore how AI systems, specifically Large Language Models (LLMs), can be utilised to create novel types of media interaction by leveraging pre-existing media metadata. Read more
Risk and sustainability dimensions of renewable energy infrastructure in the UK and Ireland in a changing climate
The transition from the primary reliance on exhaustible fossil fuel energy sources to renewable energy sources - decarbonisation of energy production - is an essential element of the government pledge to achieve Net Zero by 2050. Read more
Argumentation-enhanced Explainable Image Quality Captioning (Arg-IQC)
Image Quality Assessment (IQA) is an Image Processing task aimed at estimating the quality of a given image. Conventionally, the quality of the given image is assessed by a group of participants who conduct a subjective study and yield Mean Opinion Scores (MOS) [1]. Read more
Developing an Artificial Intelligence (AI)-based self-training platform for laparoscopic surgery.
Various research throughout the years have been devoted to exploring different and more effective ways of training for laparoscopy, within the conventional frameworks of using box trainers and virtual reality simulators. Read more
Perceptual quality assessment on reconstructed CT images
Although Computed Tomography (CT) scan has been widely used for accurate disease diagnosis and treatment, there is a risk that patients may be exposed to a high amount of ionising radiation due to the frequent use of CT scan. Read more
AI driven Multi-modal sensing and fusion for autonomous industrial inspection and smart decision-making
This project sets out to fundamentally transform the use of image processing and deep learning technologies in pivotal industrial sectors, including manufacturing, oil & gas, and renewable energy. Read more
Investigating the science of synaesthesia and crossmodal experience as a basis of robust parameters for a visual language of sound.
Investigating the science of synaesthesia and crossmodal experience as a basis of robust parameters for a visual language of sound. Read more
Development of micro-incubator OCT/ OCE bioreactor system to engineer a robust musculoskeletal tissue model
Achieving adequate musculoskeletal tissue healing is one of the most challenging factors in the repair of orthopaedic tissues. The problem of hard-to-soft tissue fixation is the major cause of failure of replacement grafts and leads to further musculoskeletal degeneration e.g. Read more
Leveraging Electronic Health Records: Bayesian Joint Longitudinal and Survival Modelling of Bivariate Longitudinal Trajectories for Two Disease Outcomes
Overview. We are thrilled to announce an exceptional PhD opportunity in medical statistics with machine learning, specifically tailored for Electronic Health Records and Big Data analysis. Read more
MSc by Research: Investigation of coordination of cell divisions during early embryonic development
Gastrulation is an essential process in early development, during which the forming ectoderm, mesoderm and endoderm take up their correct positions in the embryo. Read more
MSc by Research: Investigating the tumor suppressor functions of chromatin remodelling
One of the unanticipated outcomes of population based genome sequencing has been the finding that genes involved in the regulation of many genes are mutated at high frequency in tissue specific cancers. Read more
MSc by Research: Clustering the protein universe across the Tree of Life to enhance drug discovery
Drug discovery is the systematic process of identifying and optimizing molecular compounds to develop targeted medications for medical conditions. Read more
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